Conference Session

Studying Engineering Education Research & Institutions

Collection

2015 ASEE Annual Conference & Exposition

Authors

Justin L Hess, Purdue University, West Lafayette; Nicholas D. Fila, Purdue University; Senay Purzer, Purdue University, West Lafayette; Johannes Strobel, Texas A&M University

Tagged Divisions

Educational Research and Methods, Liberal Education/Engineering & Society

. Likewise, as the sample sizes inTable 4 and 82 and 65 for males and females, respectively, for the correlations below 0.30 thestatistical power of the t-tests comparing scales is well below 0.80. All of this is to say that byincreasing the sample size in future studies, it is possible we will detect relationships between thesurvey scales that we have perhaps failed to detect here by committing a Type II error.AcknowledgementsThis material is based upon work supported by the National Science Foundation under EEC1150874 and the NSF Graduate Research Fellowship Program under Grant No. DGE-1333468.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of

Conference Session

International Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Shweta Chopra, Iowa State University; Prashant Rajan, Iowa State University; Chad M Laux, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

International

and Political Weekly, 46(21), 106-114. 7) Mack, N., Woodsong, C., MacQueen, K. M., Guest, G., & Namey, E. (2005). Qualitative research Page 26.753.10 methods: a data collectors field guide. 8) Shenton, A. K., & Hayter, S. (2004). Strategies for gaining access to organisations and informants in qualitative studies. Education for Information, 22(3), 223-231.9) Johl, S. K., & Renganathan, S. (2009). Strategies for gaining access in doing fieldwork: Reflection of two researchers. Electronic Journal of Business Research Methods, 8(1), 37-46.10) Gurney, J. N. (1991). Female researchers in male-dominated

Conference Session

Topics in Computing and Information Technologies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gholam Ali Shaykhian, -; Mohd Abdelgadir Khairi, Najran University; Jinan Ziade ABD, University of Phoenix

Tagged Divisions

Computing & Information Technology

://swtuopproxy.museglobal.com/MuseSessionID=fd925b9615e67115f7e6173 a6599d7e2/MuseHost=proquest.umi.com/MusePath/pqdweb?index=0&did=1454 942261&SrchMode=2&sid=1&Fmt=3&VInst=PROD&VType=PQD&RQT=309 &VName=PQD&TS=1258783964&clientId=13118[8] Kirby, P., Gile, C., & Fossner, L. (2006). Data warehouse architectures must reflect business consensus. Forrester. Retrieved from Microsoft Library[9] Longman, C. (2008). Why Master Data Management is Such a Challenge. DM Review, 18(11), 18-20[10] Loshin, D. (2008). Master Data Management. Morgan Kaufmann, CA: San Francisco[11] Lucas, A. (2010). TOWARDS CORPORATE DATA QUALITY MANAGEMENT. Portuguese Journal of Management Studies, 15 (2

Conference Session

Multidisiplinary Student Research Experiences

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tom A. Eppes, University of Hartford; Ivana Milanovic, University of Hartford

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering

America’s Research Universities. State University of New York- Page 26.788.11 Stony Brook, 1998.12. Justice, C., Rice, J., Roy, D., Hudspith, B., Jenkins, H. (2009) Inquiry-based learning in higher education: administrators’ perspectives on integrating inquiry pedagogy into the curriculum. High Educ 58, 841–855.13. Justice, C., Rice, J., Warry, W., Inglis, S., Miller, S. and Sammon S. (2007) Inquiry in higher education: reflections and directions on course design and teaching methods. Innovative Higher Education. 31 (4), 201–14.14. Healey, M. (2005). Linking research and teaching exploring disciplinary spaces and the role

Conference Session

Pipeline and Performance in BME Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Davide Piovesan, Gannon University; Karinna M. Vernaza, Gannon University

Tagged Divisions

Biomedical

personal stand on issues what I alreadypositions and others, and from support my commitment to based on my know.commit to them. reflective thinking. learning. learning. personal values and analysis. Page 26.790.44. Program Assessment RubricsThe

Conference Session

Teaching and Learning Strategies II

Collection

2015 ASEE Annual Conference & Exposition

Authors

David Reeping, Ohio Northern University; Kenneth J Reid, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

studies among sections of a course.2 Page 26.795.3The final top level of the classification scheme is pictured in Figure 1 which shows the eightmain outcomes (or categories) where each of the more specific outcomes are cataloged. Thecomplete classification scheme in a table format can be found in Appendix A. Figure 1: Top Level of the Classification Scheme1Application 1: Application of the Scheme among Multiple Course SectionsTwo Midwest universities have extensively utilized the classification scheme to reflect uponcurrent practices and determine gaps in content.2 A self-study exercise was performed by oneMidwestern

Conference Session

Fundamental: Home, Parents, and Other Out-of-School Issues Related to K-12 and Pre-college Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jacob Inman, INSPIRE Institute for Pre-College Engineering Education; Monica E Cardella, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

26.814.10imposed on the child gender data. On the other hand, reviews gathered from Amazon.com didnot seem to vary by date, as the site has kept its reviewing system largely the same over time.Future ResearchThis research can be considered a good jumping-off point for more intensive statistical analysison the raw data collected. As a largely exploratory study, its aims were merely to provideevidence of surface-level trends and how these reflect the conclusions of other researchers onthis topic, instead of performing rigorous statistical analyses. However, the data gathered is ripefor analysis, provided the researchers are able to mine independent variable data from thereviews collected; while two dependent variables are available in the child’s gender and

Conference Session

Innovations in Communications and Wireless Systems Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Wayne A Scales, Virginia Tech; J Michael Ruohoniemi; Geoff Crowley

Tagged Divisions

Electrical and Computer

, multipath reflections, antenna characteristics, and interference signals.They can also run scenarios for many different kinds of tests, with full control of all aspects ofthe GNSS operating environment. At Virginia Tech., hardware signal simulators produced bySpirent Communications are currently being used for developing raw data streams for the coursedescribed here. They allow for various scenarios of vehicles as well as atmospheric andpropagation effects on the GNSS constellations (GPS, GLONASS, Galileo, and BeiDou). AGNSS simulator is combined with a spectrum analyzer to demonstrate the spread spectrumconcept in addition to the signal structures for different GNSS systems. Students can control thecontent and characteristics of the GNSS

Conference Session

Issues in Engineering Technolgy Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Terence Geyer, Eastern Washington University; William R Loendorf, Eastern Washington University

Tagged Divisions

Engineering Technology

is well worth the effort.Conclusions, Reflections, and the FutureWhat instructional planning method is best? The answer is perhaps different for each instructoras a method is selected somewhere along the path of becoming educators. These methods arechosen based on pedagogical methodologies learned or methods used that work in the givenmoment. Most of the educators in engineering programs are required to have higher-leveltechnical-based degrees, but are not necessarily required to have an advanced educational-baseddegree. Are there better instructional planning methods to balancing student and instructorworkload? Can they improve the outcomes for students and instructors? Are the methodspresented in this paper the only possibility? In reality

Conference Session

Fundamental: Metrics & Assessment for K-12 Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cathy P. Lachapelle, Museum of Science; Yoonkyung Oh, Pennsylvania State University; Muhammad Faiz Shams, Museum of Science; Jonathan D Hertel, EiE/Museum of Science; Christine M Cunningham, Museum of Science

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

inMassachusetts, Maryland, and North Carolina. Members of the EiE project team conductedprofessional development with the assistance of E4 staff and state coordinators. After beingintroduced to the subject of engineering (with which many had not had significant contact),teachers engaged in hands-on training for their assigned engineering unit as well as a second unitin order to increase exposure to the curriculum. Throughout the workshop, professional Page 26.848.9development staff modeled curriculum-specific pedagogy for teachers by placing them in therole of students while engaging in the activities. Staff also helped participants to reflect asteachers

Conference Session

Broad Perspectives on the Chemical Engineering Curriculum

Collection

2015 ASEE Annual Conference & Exposition

Authors

Daniel Lepek, The Cooper Union; Margot A. Vigeant, Bucknell University; David L. Silverstein P.E., University of Kentucky; Jason M. Keith, Mississippi State University

Tagged Divisions

Chemical Engineering

Polytechnic).Due to the complexity of the survey, the results were broken down into different sections:Program/Department Characteristics, The “First” Course (Fluid Mechanics), The “Second”Course (Heat [and Mass] Transfer), and The “Third” Course (Mass Transfer [and Separations].Some data was available for a “fourth” course (solely separations) and was not included in theanalysis. It is important to note that while these subdivisions do reflect the bulk of the surveyreplies, some overlap in the results does exist due to the wide range of course variations.Program/Department CharacteristicsFaculty size per departmentThe replies from the survey represented 59 different institutions from around the world. As canbe seen in Figure 1, there is a

Conference Session

Electrical and Computer Engineering Curriculum Design and Evaluation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cory J. Prust, Milwaukee School of Engineering; Richard W. Kelnhofer, Milwaukee School of Engineering; Joerg Mossbrucker, Milwaukee School of Engineering; Kerry R Widder, Milwaukee School of Engineering; Hue V. Tran P.E., Milwaukee School of Engineering; Stephen M. Williams P.E., Milwaukee School of Engineering

Tagged Divisions

Electrical and Computer

courses and their additional effort was reflected in anupward shift in grades as compared to the preceding course. We speculate that this increase isdue to the increased engagement and ownership that students take in designing and building theirown robot. The student’s clearly know ahead of time that meeting milestones will result inhigher grades. All of the milestones are published on the first day of class, and one couldspeculate that a student content with a “B” or “C” would produce only the required effort for thatgrade. However, this is not the case. Students, on the average, expend greater time and effort.Perhaps, EE2930 is the first class in the program that has an open-ended problem, with no single,pre-determined solution. Therefore, the

Conference Session

Shaping the Future: Structured Mentoring for Today's Diverse Engineering Student Populations

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jonathan Gordon, Georgia Institute of Technology; Comas Lamar Haynes, Georgia Institute of Technology; Gary S. May, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

45.2% 24.3% 17.8%Professional/PostdoctoralOther job function 54.8% 75.7% 86.6%N 31 37 415Notes: Χ2 = 13.87; df = 2; p = .001The second research question addressed whether there were differences in terms of preparationin a variety of knowledge, skills, and abilities. The survey asked alumni to reflect on theirgraduate education as well as to describe their current career situation. Retrospectively, alumniwere asked the extent to which they agreed that {institution withheld} adequately prepared themin a variety of skills, abilities, and attributes. A priori, 15

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Seda McKIlligan, Iowa State University; Meisha Nicole Berg, Iowa State University; Shanna R. Daly, University of Michigan; Kathryn W. Jablokow, Pennsylvania State University, Great Valley; Eli M. Silk, Rutgers, The State University of New Jersey; Wesley Teerlink, Penn State University

Tagged Topics

NSF Grantees Poster Session

compensate for missing information and using it toconstruct the problem space5.Forster et al. have examined how different preparations, variations in goal setting, and alternativetask instructions impact performance6. By framing given design tasks in either a novel or afamiliar manner or by priming participants with reflection on novel or familiar events prior tocompleting a task, it was found that participants with less direct experience associated with agiven problem were more open to being primed in a particular manner. Chen et al. investigatedhow different facilitation effects correlate with the creative performance across differentcultures7. They tested Chinese college students and US college students by providing explicitinstructions to half

Conference Session

First-year Programs Division Technical Session 4: The Best of the All: FPD Best Papers

Collection

2015 ASEE Annual Conference & Exposition

Authors

Chao Wang, Arizona State University; Jennifer Mott, California Polytechnic State University San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

. Table 1. Grading Scheme Individual Individual Readiness Assurance Test (iRAT) 10% Quizzes and Exam 20% Journal Reflection 20% Team Team Readiness Assurance Test (tRAT) 5% Design Project 45% Total 100%Two peer evaluations were conducted using CATME. One was around week 9 into the semesterand the other was at the end. The peer evaluation let the students evaluate both themselves andother members on

Conference Session

Communication as Performance

Collection

2015 ASEE Annual Conference & Exposition

Authors

John W. Brocato, Mississippi State University; Amy Barton, Mississippi State University; Kelly Agee, Mississippi State University; Ed Dechert, Mississippi State University; Greg Carlisle, Morehead State University

Tagged Divisions

Liberal Education/Engineering & Society

cause of this engagement problem is not complicated; public speaking has been a top fear ofpeople in the United States for years, often anecdotally but also in a more documented sense,most recently in Chapman University’s “Survey on American Fears,” where public speakingplaced fifth (9.1%) just behind “Being [a] victim of mass/random shooting” (also 9.1%)1.Another persistent problem is lack of experience. As much as any other ability, effective publicspeaking requires repeated practice at delivering talks before audiences and, more importantly,reflection after a talk on what went poorly and the willingness to do it again, better. Assessingthe presentation experiences of, e.g., the general public or U.S. college students is beyond thescope of

Conference Session

First-year Programs Division Technical Session 10: Paying Attention to Retention

Collection

2015 ASEE Annual Conference & Exposition

Authors

Steffen Peuker, California Polytechnic State University; Nova Alexandria Glinski Schauss, Oregon State University

Tagged Divisions

First-Year Programs

-19 Volume 3, 20023. Veenstra, Cindy P., Dey, Eric L., Herrin, Gary D., "A Model for Freshman Engineering Retention", AEE, Volume 1, Issue 3, Winter 20094. Meyers, Kerry L., Silliman, Stephen, E., Gedde, Natalie, L., Ohland, Matthew, W., "A comparison of engineering students’ reflections on their first year experiences.", J. Engineering Education, April 20105. Hutchison, Mica A., Follman, Deborah K., Sumpter, Melissa, Bodner, George M., "Factors influencing the self- efficacy beliefs of first year engineering students", J. Engineering Education, January 20066. Landis, R. B., "Student Development: An Alternative to 'Sink or Swim'", Proceedings of 1994 ASEE Annual Conference, June 19947. Lotkowski, Veronica A., et al. "The Role of

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Susan M Lord, University of San Diego; Matthew W. Ohland, Purdue University; Richard . Layton, Rose-Hulman Institute of Technology

Tagged Topics

Diversity, NSF Grantees Poster Session

drawn are of particular interest, sincethese affect persistence studies in all disciplines.AcknowledgementsThis material is based upon work supported by the National Science Foundation (NSF) underGrant 1129383 in the Research on Engineering Education (REE) program. The opinionsexpressed in this article are those of the authors and do not necessarily reflect the views of NSF.References1 Lord, S. M., R. A. Layton, and M. W. Ohland, “Trajectories of Electrical Engineering and Computer Engineering Students by Race and Gender,” IEEE Transactions on Education, 54(4), 610-618 (2011).2 Orr, M. K., S. M. Lord, R. A. Layton, and M. W. Ohland, “Student Demographics and Outcomes in Mechanical Engineering in the U.S.,” International Journal of

Conference Session

Thermodynamics, Fluids and Heat Transfer II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Thomas Shepard, University of St. Thomas; Deify Law, California State University, Fresno

Tagged Divisions

Mechanical Engineering

relevantproblems similar to what might be given on quizzes and tests. By working through the problemsstudents may also pay closer attention to readings in the textbook and attend office hours in orderto overcome confusion. Also, as pointed out in Fernandez, Saviz and Burmeister1, the opensetting in which homework is completed is more reflective of engineering practice than time-limited high-stakes exams. The reason for grading homework is commonly to incentivizestudents to give an honest effort and spend the required time to complete the assignment.Past research does provide evidence of the positive impact that graded homework can have onlearning. A review of 15 published studies on elementary and secondary students showed that in85% of the cases

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Qichao Wang, Virginia Tech; Montasir Abbas P.E., Virginia Tech; Lisa D. McNair, Virginia Tech

Tagged Topics

NSF Grantees Poster Session

interests include interdisciplinary collaboration, design education, communication studies, identity theory and re- flective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a CAREER award to explore the use of e-portfolios to promote professional identity and reflective practice. Page 26.60.2 c American Society for Engineering Education, 2015 A Knowledge-Delivery Gravity Model to Improve Game-Aided

Conference Session

Emerging Computing and Information Technologies I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Forough Sheikh-Ansari, Purdue University; Baijian Yang, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computing & Information Technology

, this imperfection inmeasuring can convincingly reflect the real overhead in a real system.5.1 Hash FunctionsIn the first set of experiments, we measured the H(VM) with several major CryptographicHashing Functions [12]. We chose different hash function to be able to compare them and chosethe best match for our proposed Architecture. Results of H(VM)’s Execution time are shown inthe Table 2. As seen from the results, the CPU processing time of hashing is basically linear tothe size of the VM templates. SHA-384 and SHA-512 has similar processing time due to the factthe construction of the hashing are very similar. An interesting to note was SHA-256 processtime is actually longer time than SHA-384 and SHA-512. This is because SHA-384 and SHA-512

Conference Session

Women in Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elizabeth Horstman, University of Illinois at Urbana-Champaign; Danielle Jamie Mai, University of Illinois, Urbana-Champaign; Yanfen Li, University of Illinois at Urbana Champaign; Rohit Bhargava, University of Illinois at Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

4institutions. To assess whether the program content matched the interests of the participants,participants were asked to indicate the type of institution(s) to which they plan to apply.Institutions were categorized into four groups: research intensive, research and teachingintensive, teaching intensive, and community college. Participants were also asked to indicate ifthey were interested in tenure or non-tenure track positions. As shown in Figure 2, participants’interests shifted throughout the program. Although no conclusive tends were observed with theparticipants’ change in the type of institution to which they were interested in applying, this datadoes reflect the sentiment of indecision that was observed in the post program interviews

Conference Session

Evaluation: Technology and Tools for K-12 Engineering Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Maria Alessandra Montironi, UC Davis; Daniel S Eliahu, UC Davis C-STEM Center; Harry H. Cheng, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

K-12 & Pre-College Engineering

environmentthey were working in. The majority of negative feedback received is related to this theme. Evenwhen students were asked to reflect specifically on the teacher, or the lesson, they often providedcritiques regarding the physical environment. This shows that more care should be taken increating a pleasing environment. Students can be very easily distracted when using computersand the survey shows reducing the environmental distractions should be a higher priority to helpstudents focus on their tasks.There were a wide variety of ethnicities represented in the camp: 17.6% Asian/Pacific Islander;5.9% Hispanic/Latina; 17.6% White/Caucasian; and 41.2% mixed.The percentage of male and female students attending the camp was perfectly split, 41.2

Conference Session

Innovations in Communications and Wireless Systems Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Richard J. Hartnett P.E., U.S. Coast Guard Academy; Kelly Charles Seals P.E., U.S. Coast Guard Academy; Paul Benjamin Crilly, U.S. Coast Guard Academy

Tagged Divisions

Electrical and Computer

reasonableestimate), 2DRMS error circles of between 6 and 12 meters are produced.Using m-files our students have produced for their GPS position solutions, we ask themto think about using a GPS receiver to try to find a restaurant in a large city such as NewYork, NY, where the only satellites visible would be perhaps only the ones directlyoverhead. At that point they begin calculating HDOP for satellites whose elevationangles are above 85 degrees. They quickly realize that even small errors (due to noise, orperhaps multipath reflections off buildings), translate to relatively large horizontaldistances (e.g. 500-700 meters), so they might actually be better off asking for directionsrather than depending on their GPS receiver inside their cellular telephone

Conference Session

Working in Teams: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jennifer Mott, California Polytechnic State University; Steffen Peuker, California Polytechnic State University

Tagged Divisions

Educational Research and Methods

” on their team mates’ work. Exam scores of these students reflect theirlack of participation in the team activities and are lower than their team mates’ scores.Instructor intervention was minimal in all courses. As discussed above the instructor onlyintervened one time to redistribute a team because the size of the team was too small, notbecause of any personality or working conflicts. In general, the instructor does not directly helpthe teams work together, and the instructor was not asked to intervene in any team disagreementsby the teams. The teams–as a result of the TBL structure–are self-regulating.ConclusionsTeams in Team-Based Learning courses learn quickly how to effectively work together. Theteams exhibited rare to no team conflict

Conference Session

International Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Natalie Marie Villwock-Witte P.E., Western Transportation Institute at Montana State University

Tagged Divisions

International

. Theyidentify two approaches to course development: curriculum-lead and place-lead. Tworecommendations provided by Stanitski and Fuellhart are to overestimate on costs and requirethat students keep a journal. The latter will help students to reflect on their experiences, whichthey describe as far more challenging than developing activities. The results of surveysconducted by Stanitski and Fuellhart led them to change the format of their trip to Australia toallow for more unstructured time. They indicate that it is a significant benefit to have personalinternational contacts. One aspect of scheduling that they highlight is the need to understandhow the schedule may affect summer employment opportunities for students. They found thatidentifying

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elif Ozturk; Bugrahan Yalvac, Texas A&M University; Michael Johnson, Texas A&M University; Xiaobo Peng, Prairie View A&M University; Ke Liu, Prairie View A&M University

Tagged Topics

NSF Grantees Poster Session

of work in industry, engineers multiple perspective characteristicswere enhanced. However, besides having significant results, the number of theparticipating engineers (N=14), which was a relatively small sample, was a limitation ofthat work. Future studies with an increased number of engineers should generate moreprecise and clear results.AcknowledgementThis material is supported by the National Science Foundation under EEC GrantNumbers 1129403 and 1129411. Any opinions, findings, conclusions, orrecommendations presented are those of the authors and do not necessarily reflect theviews of the National Science Foundation. Page 26.155.8

Conference Session

Flipped Classrooms in Mechanics

Collection

2015 ASEE Annual Conference & Exposition

Authors

Yufeng Hu P.E., Western Michigan University; Javier Martin Montefort P.E., Western Michigan University; Edmund Tsang, Western Michigan University

Tagged Topics

Diversity

Tagged Divisions

Mechanics

poorlyin subsequent courses.Traditionally, Statics has been taught in face-to-face lectures. The traditional lecture formatprevents the students from pausing to reflect and understand what is being explained and theymay often miss important points. A goal of Statics is to have students learn to solve problemsindependently, which is a practice-intensive and time-consuming effort for which the lecture canprovide guidance yet relatively little direct assistance. The traditional lecture is an instructor- Page 26.189.2centered, relatively passive method of learning. While lecturing still remains an effective andimportant way of conveying knowledge, it

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Ravi P. Ramachandran, Rowan University; Liang Hong, Tennessee State University; Sachin Shetty, Tennessee State University; Kevin D. Dahm, Rowan University; Richard J. Kozick, Bucknell University; Robert M Nickel, Bucknell University; Robi Polikar, Rowan University; Ying Tang, Rowan University; Steven H Chin, Rowan University

Tagged Topics

NSF Grantees Poster Session

various conferences, international journal articles, book chapters in research and pedagogical techniques. He is the director of the Cyber Defense and Security Visualization LaboratoryDr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He earned his BS from Worces- ter Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has pub- lished two books, ”Fundamentals of Chemical Engineering Thermodynamics” and ”Interpreting Diffuse Reflectance and Transmittance.” He has also published papers on effective use of simulation in engineer- ing, teaching design and engineering economics, and assessment of student learning.Dr. Richard J. Kozick

Conference Session

BIM in Architectural Engineering

Collection

2015 ASEE Annual Conference & Exposition

Authors

Wei Wu, California State University, Fresno; Ishan Kaushik

Tagged Divisions

Architectural

Some design Considerable Good design ProfessionalDesign and random, no criteria design logic logic with space layoutSpace Layout logic or reflected, with a few clearly and design reasoning for have basic good identified concept space layout at layout of designation space all space of space functions functionsAnnotation Little to none Very few Some Quite Comprehensiveof Design annotation annotation annotation complete and accurate was made